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Edra

<div>
 
 About Edra
 
 
 
 Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations.
 
 
 We're a Series A startup, backed by Sequoia and other leading VC firms, led by Co-Founders who created and led Forward Deployed AI Engineering at Palantir, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build.
 
 
 
 The Role
 
 
 
 We're building a learning system that teaches AI agents how enterprises actually work. Our system ingests knowledge bases, conversations, tickets, and system logs, then produces written instructions that agents can execute&ndash;with confidence scoring to know when to automate and when to seek human input.
 
 
 We're looking for AI Engineers who have built complex, production LLM-based systems. Whether you've scaled LLM workflows handling millions of requests, built multi-agent systems in production, or designed evaluation frameworks for enterprise deployments, we want people who bring intensity and self-direction to their craft.
 
 
 You&rsquo;ll spend most of your time advancing our core learning library and building the harness that powers our platform&rsquo;s agents across all customers. The work spans continuous learning systems, agentic features, human-in-the-loop feedback loops, and agent orchestration.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Build and extend our core context-learning library, turning customer-informed problems into reusable platform capabilities.
 </li>
 <li>
 Design and implement LLM-powered systems and agentic workflows from concept to production
 </li>
 <li>
 Build agentic features for knowledge management&ndash;think agents that can edit, update, and maintain large knowledge bases autonomously
 </li>
 <li>
 Build reliability and confidence systems&ndash;evaluation frameworks, confidence scoring, and logic for when to automate vs. when to escalate to a human
 </li>
 <li>
 Architect async, scalable systems that handle complex AI orchestration
 </li>
 <li>
 Contribute to the direction of our AI strategy and product capabilities
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 You've built complex, production LLM-based systems with real depth&ndash;something with multiple layers of engineering decisions you can walk through in detail
 </li>
 <li>
 You've shipped something meaningful to production and can explain how it evolved
 </li>
 <li>
 You're excited by open-ended problems where the solution might not exist yet
 </li>
 <li>
 You have experience with (or strong interest in) how systems learn and improve over time: human-in-the-loop feedback, prompt optimization and context engineering
 </li>
 <li>
 You have experience building agents and autonomous systems
 </li>
 <li>
 You can navigate between research papers and production code with equal comfort
 </li>
 <li>
 You're a strong communicator who can clearly explain your work to teammates and customers
 </li>
 <li>
 You have 3+ years of professional experience
 
 
 </li>
 </ul>
 Don&rsquo;t meet all of the above traits? We&rsquo;d still love to hear from you. We&rsquo;re looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets.
 
 
 
 Learn More About Edra
 
 
 
 <ul>
 <li>
 Watch our Series A announcement video
 </li>
 <li>
 Read our blog post from our launch
 </li>
 <li>
 Learn more about what we're building
 
 
 </li>
 </ul>
 
 Compensation &amp; Benefits
 
 
 
 Edra offers generous compensation and benefits in both New York &amp; London:
 
 
 <ul>
 <li>
 Competitive base salary &amp; meaningful equity
 </li>
 <li>
 Top tier health, dental, &amp; vision plans:
 </li>
 <ul>
 <li>
 Top plans with 100% premium coverage in the US (and a One Medical membership)
 </li>
 <li>
 Private medical &amp; dental coverage in the UK
 </li>
 </ul>
 <li>
 Flexible paid time off
 </li>
 <li>
 Lunch provided in office most days, snacks &amp; drinks too
 </li>
 <li>
 A stipend to set up your workspace
 
 </li>
 </ul>
 
 A Few Details
 
 
 
 We work together in person five days a week from our offices in the West Village (New York) and Holborn (London).
 
 
 Edra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic.
 
 
 Compensation Range: $200K - $300K
 
 
</div>

AI Engineer (New York)

Capital One

<div>
 At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
 
 
 
 
 Team Description:
 
 
 
 
 The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
 
 
 
 
 In this role, you will:
 
 
 
 
 <ul>
 <li>
 Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
 </li>
 <li>
 Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
 </li>
 <li>
 Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
 </li>
 <li>
 Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.
 </li>
 <li>
 Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
 
 
 </li>
 </ul>
 
 
 The Ideal Candidate:
 
 
 
 
 <ul>
 <li>
 You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.
 </li>
 <li>
 Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
 </li>
 <li>
 You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
 </li>
 <li>
 You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.
 </li>
 <li>
 You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.
 
 
 </li>
 </ul>
 
 
 Basic Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
 </li>
 <li>
 At least 4 years of experience programming with Python, Go, Scala, or Java
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications:
 
 
 
 
 <ul>
 <li>
 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
 </li>
 <li>
 Experience designing, developing, delivering, and supporting AI services
 </li>
 <li>
 Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
 </li>
 <li>
 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
 </li>
 <li>
 Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
 
 
 </li>
 </ul>
 
 
 Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
 
 
 
 
 The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
 
 
 Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer
 
 
 McLean, VA: $197,300 - $225,100 for Lead AI Engineer
 
 
 New York, NY: $215,200 - $245,600 for Lead AI Engineer
 
 
 San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer
 
 
 San Jose, CA: $215,200 - $245,600 for Lead AI Engineer
 
 
 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
 
 
 This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
 
 
 Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
 
 
 This role is expected to accept applications for a minimum of 5 business days.
 
 
 No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
 
 
 If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
 
 
 For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
 
 
 Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
 
 
 Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
</div>

Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)

<div>
 
 Overview
 
 
 
 At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
 
 
 
 Team Description:
 
 
 
 The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
 
 
 
 In this role, you will:
 
 
 
 <ul>
 <li>
 Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
 </li>
 <li>
 Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
 </li>
 <li>
 Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
 </li>
 <li>
 Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.
 </li>
 <li>
 Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
 
 
 </li>
 </ul>
 
 The Ideal Candidate:
 
 
 
 <ul>
 <li>
 You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.
 </li>
 <li>
 Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
 </li>
 <li>
 You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
 </li>
 <li>
 You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.
 </li>
 <li>
 You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.
 
 
 </li>
 </ul>
 
 Basic Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
 </li>
 <li>
 At least 4 years of experience programming with Python, Go, Scala, or Java
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
 </li>
 <li>
 Experience designing, developing, delivering, and supporting AI services
 </li>
 <li>
 Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
 </li>
 <li>
 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
 </li>
 <li>
 Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
 
 
 </li>
 </ul>
 
 Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
 
 
 
 The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
 
 
 McLean, VA: $197,300 - $225,100 for Lead AI Engineer
 
 
 New York, NY: $215,200 - $245,600 for Lead AI Engineer
 
 
 Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer
 
 
 San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer
 
 
 San Jose, CA: $215,200 - $245,600 for Lead AI Engineer
 
 
 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
 
 
 This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
 
 
 Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
 
 
 This role is expected to accept applications for a minimum of 5 business days.
 
 
 No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
 
 
 If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
 
 
 For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
 
 
 Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
 
 
 Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
</div>

Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI)

Palo Alto Networks

<div><div>Santa Clara, California, United States of America
 
New York, New York, United States of America
 
Plano, Texas, United States of America Product Engineering Ref ID: JR-020960</div><div> 
</div><div>Our Mission
At Palo Alto Networks&reg;, we&rsquo;re united by a shared mission&mdash;to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you&rsquo;re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you&rsquo;re in the right place.
Who We Are
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. That&rsquo;s why most of our teams work from the office full time, with flexibility when it&rsquo;s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.
Job Summary
As a Forward Deployed Engineer (FDE) for AI Gateway, you are a hands-on developer and systems architect who embeds with customer engineering teams. You write production code, design low-latency topologies, and build custom plugins to ship secure enterprise AI workloads to production. You bridge the gap between customer production environments and core engineering&mdash;extending the platform edge while directly contributing code back to the core AI Gateway engine.
Key Responsibilities
<ul><li>Write production-grade code (Python, Go, TypeScript) to integrate AI Gateway with microservices, API meshes, and multi-cloud architectures.
</li><li>Build custom middleware/plugins for identity-aware policies, prompt security, dynamic routing, and telemetry pipelines.
</li><li>Develop automated deployment modules (Terraform, Helm, Kubernetes) and SDK wrappers.
</li><li>Optimize high-throughput, low-latency traffic paths (streaming payloads, caching, load balancing).
</li><li>Lead Architectural Design Reviews (ADRs) with customer Principal Engineers and CISOs for zero-trust deployments.
</li></ul>Qualifications
Required Qualifications
<ul><li>7+ years writing production code (Python, Go, TypeScript/C++), with deep experience in APIs (gRPC, REST, WebSockets) and API gateways (Envoy, Kong).
</li><li>Hands-on experience with LLM orchestration, prompt security, token optimization, model routing, and vector databases/RAG architectures.
</li><li>Proficiency in Kubernetes, Docker, Terraform, AWS/GCP/Azure, OIDC/OAuth2, and zero-trust networking.
</li></ul>Preferred Qualifications
<ul><li>A hands-on builder who loves pair-programming with customer devs and digging into raw code/traces to solve live outages.
</li><li>Experience thinking like an engineer first and a consultant second.
</li><li>Proven ability to own problems end-to-end.
</li><li>Ability to whiteboard enterprise architecture, debug an API integration, review code, and influence the product roadmap.
</li></ul>Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus.
$147,000.00 - $237,500.00/yr
Our Commitment
We&rsquo;re trailblazers that dream big, take risks, and challenge cybersecurity&rsquo;s status quo. It&rsquo;s simple: we can&rsquo;t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship?: Yes</div></div>

Senior Forward Deployed Engineer (Customer Engineering)

Translucent AI

<div>
 
 Role Details
 
 
 
 <ul>
 <li>
 Full-Time
 </li>
 <li>
 Office Location - New York City (hybrid)
 
 
 </li>
 </ul>
 
 Why Translucent
 
 
 
 Healthcare providers drive $2.5 trillion in medical expenditures annually &mdash; and operate on razor-thin 2&ndash;5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions.
 
 
 Translucent is changing that. We're building the agentic AI platform designed exclusively for healthcare finance&mdash; giving every finance team, department, service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows.
 
 
 Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we've already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we're just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world, this is the place.
 
 
 
 Role Overview
 
 
 
 We're looking for an AI Engineer to help build the agentic platform at the core of Translucent: the AI financial platform transforming how healthcare organizations make business decisions.
 
 
 You'll work hands-on across R&amp;D and platform engineering &mdash; improving the underlying agent capabilities every team builds on, rather than configuring agents for a single customer. You'll standardize the tool surfaces new capabilities plug into, make the agent platform ready to integrate across products, and own the evals, context, and harness engineering that make it reliable enough for healthcare finance. You'll match the right agentic architecture to each use case, turn core capabilities into an ecosystem others build on, and own quality end-to-end.
 
 
 If you are energized by fast-paced environments, love sweating the details of production AI systems, partnering closely with product and design, and seeing your work in customers' hands quickly, you'll feel at home here.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Standardize tool and skill surfaces &mdash; define the contracts (MCP-style tool, connector, and skill interfaces) that let us add new capabilities continuously without destabilizing the platform as it grows
 </li>
 <li>
 Make the agent platform integration-ready &mdash; build the connective tissue so agents, tools, context, and data compose cleanly across products, and match the right agentic architecture to each use case
 </li>
 <li>
 Own evals and benchmarks &mdash; build production-grade eval harnesses, replay, and benchmarks for agentic AI, and gate releases on them; in healthcare finance, accuracy is non-negotiable
 </li>
 <li>
 Lead context and harness engineering &mdash; establish best practices for grounding agents in each customer's business rules and data, and for the control loops that keep outputs reliable
 </li>
 <li>
 Fine-tune and evaluate models &mdash; fine-tune in-house and open-source models, benchmark them against frontier baselines, and make the build-vs-buy calls on model, framework, and infra
 </li>
 <li>
 Turn capabilities into an ecosystem &mdash; build reusable core capabilities that translate across features and products, and ship them end-to-end with product and design
 
 
 </li>
 </ul>
 
 What You Have
 
 
 
 <ul>
 <li>
 3+ years of software engineering experience, with meaningful production work in Python
 </li>
 <li>
 Direct experience shipping LLM-powered or agentic systems in production &mdash; not just prototypes. You know where models fail and how to make them reliable
 </li>
 <li>
 Hands-on experience with at least one modern agent framework (LangGraph, Google ADK, LlamaIndex, Claude Agent SDK, or equivalent), and a clear point of view on what to use vs. build
 </li>
 <li>
 Production evals and benchmarking &mdash; you've built eval harnesses and benchmarks that gate real releases, not one-off spot checks
 </li>
 <li>
 Context engineering &mdash; grounding agents through retrieval, context layers, and knowledge transfer so outputs match a specific org or user
 </li>
 <li>
 Comfort with the data and retrieval layer &mdash; SQL, BigQuery or a comparable warehouse, embeddings, and vector search
 </li>
 <li>
 A bias toward shipping &mdash; you take an ambiguous problem to a working V1 fast, then iterate
 
 
 </li>
 </ul>
 
 Plus deep, demonstrable expertise in at least one (ideally two) of the following:
 
 
 
 <ul>
 <li>
 Tool-surface and connector platform engineering &mdash; standardized tool/skill contracts (e.g., MCP) and connector ecosystems that scale without breaking
 </li>
 <li>
 Harness and loop engineering &mdash; agent control loops, orchestration, and inference harnesses; right-sizing agent architecture per use case and keeping it reliable at scale
 </li>
 <li>
 Open-source and in-house model fine-tuning &mdash; fine-tuning open models and benchmarking them against frontier baselines
 </li>
 <li>
 Production context-layer engineering &mdash; systems that capture business rules and preferences and feed them to agents reliably
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with healthcare finance, accounting, or other structured financial data &mdash; or genuine curiosity about it
 </li>
 <li>
 Applied ML or model-evaluation research background
 </li>
 <li>
 Open-source contributions to agent or LLM tooling
 </li>
 <li>
 Experience designing tool-use APIs or developer-facing AI products
 </li>
 <li>
 Familiarity with our stack: Vertex AI (Gemini, Claude on Vertex), GenKit, MCP, BigQuery
 
 
 </li>
 </ul>
 
 Experience Level
 
 
 
 We're looking for engineers who own meaningful surface area and drive work forward independently. You'll bring sharp judgment on architecture and build-vs-buy trade-offs under ambiguity, a bias toward shipping a working V1 fast, and the craft to make agentic systems reliable enough for healthcare finance &mdash; not just demos.
 
 
 https://www.translucent.co/
 
 
 
 Base Salary
 
 : $175,000-$275,000 USD + equity
</div>

AI Engineer

Paramount

<div></div><div><div><div><div><div><div>46052
</div></div></div></div><div><div><div><div>New York, NY, US, 10036
</div></div></div></div><div><div><div><div>Creative
</div></div></div></div><div><div><div><div>New York
</div></div></div></div><div><div><div><div>Full-Time
</div></div></div></div><div><div><div><div>On-Site
</div></div></div></div><div><div><div><div>#WeAreParamount on a mission to unleash the power of content&hellip; you in?
 
We&rsquo;ve got the brands, we&rsquo;ve got the stars, we&rsquo;ve got the power to achieve our mission to entertain the planet &ndash; now all we&rsquo;re missing is&hellip; YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter &ndash; both for our audiences and our employees &ndash; and aim to leave a positive mark on culture.
We&rsquo;re looking for someone who&rsquo;s naturally curious, biased toward action, and deeply focused on the outcomes of their work. You know that great design starts with recognizing the problem. Your work demonstrates pixel-level attention to detail alongside a proficient mastery of usability and interaction patterns at scale. You&rsquo;re able to turn complex ideas into simple, intuitive, and visually balanced experiences&mdash;no matter the device. Above all, you&rsquo;re a collaborative team player who lives and breathes interactive design. 
Responsibilities:
<ul><li>Create pixel precise designs that are on brand and are created based on product requirements and partner input/feedback.</li>
<li>Research the competitive landscape, create user flows and work towards product designs that take into consideration evolving functionality, technological innovation and their effects on the product and company revenue.</li>
<li>Collaborate with product management, engineering and other cross-functional partners to develop compelling solutions across multiple problem spaces like discovery and engagement.</li>
<li>Be an advocate for visual and functional consistency while also capitalizing on strategic opportunities to evolve our systems and interactions.</li>
<li>Leverage AI to both broaden the exploratory space and swift execution and delivery.</li> 
</ul>Basic Qualifications:
<ul><li>3-5 years of product design experience.</li>
<li>A solid UX and visual design sense, with an eye for simple, intuitive interfaces.</li>
<li>Experience quickly adapting to fast-moving timelines and variable project requirements</li>
<li>Work individually and with a deep sense of ownership.</li>
<li>Proactively gather consensus from multiple internal partners and be able to change tasks quickly based on shifting priorities and urgent deadlines.</li>
<li>Experience partnering with other designers, product managers, and engineering organizations to deliver cutting edge design across the entire product lifecycle. Been through multiple launches.</li>
<li>Ability to rapidly concept, ideate and execute multiple concepts.</li>
<li>An impressive portfolio that illustrates deep knowledge of functionality paired with a modern visual design sensibility.</li>
<li>Curiosity and comfort experimenting with evolving AI tools and workflows, including AI-assisted prototyping and vibe-coding tools, to expand how ideas are explored and built.</li>
<li>Experience working in an agile context, where they have been a member of a delivery team in a product development environment; working closely with product owners, developers and QA.</li> 
</ul>#LI-JJ1
Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world&rsquo;s biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming&rsquo;s other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage. 
ADDITIONAL INFORMATION 
Hiring Salary Range: $85,600.00 - 128,400.00. 
The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible. 
<div>What We Offer:
</div><ul><li>Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here:https://www.paramount.com/careers/benefits</li>
<li>Generous paid time off.</li>
<li>An exciting and fulfilling opportunity to be part of one of Paramount&rsquo;s most dynamic teams.</li>
<li>Opportunities for both on-site and virtual engagement events.</li>
<li>Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.</li>
<li>Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount</li> 
</ul>Paramount is an equal opportunity employer (EOE) including disability/vet. 
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status. 
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.</div></div></div></div></div></div>

Product Designer

Progyny

<div>Thank you for considering Progyny!
We are hiring a Manager, Medical Economics &amp; Analytics to join our team in New York City. This role will primarily support the Operations team.
Our team develops data, analytical insights, and tools that support Progyny&rsquo;s internal operations and help drive an exceptional member and provider experience. In this role, you&rsquo;ll partner closely with cross-functional teams, including Provider Network, Claims, Contact Center, and Member Experience, to deliver analyses and solutions that improve operational performance and inform strategic decision-making. You&rsquo;ll also work closely with Data Engineering and IT partners to advance our analytics infrastructure, expand AI-enabled capabilities, and build scalable solutions that enable teams across the organization to make better data-driven decisions.
What You'll Do...<ul><li>
Become a subject matter expert (SME) in Progyny claims, utilization, provider network, operational, and financial data, translating complex datasets into actionable insights that improve business performance.</li><li>
Lead, develop, and mentor a team of analysts responsible for delivering high-quality analyses, reporting, and analytical solutions to key operational stakeholders.</li><li>
Build, maintain, and optimize scalable analyses, data models, dashboards, and reporting using SQL, Excel, and modern analytics and visualization tools.</li><li>
Partner closely with cross-functional operational teams, including Provider Network, Claims, Contact Center, and Member Experience, to identify opportunities, evaluate performance, develop KPIs, and deliver insights that inform operational and strategic decision-making.</li><li>
Partner with Data Engineering and other IT teams to help shape and advance Progyny&rsquo;s analytics infrastructure and data strategy, including data models, pipelines, tooling, governance, and self-service analytics capabilities.</li><li>
Identify opportunities to improve analytical workflows, automate manual processes, and drive cross-functional initiatives that increase operational efficiency and enable scalable, data-driven decision-making.</li></ul>
About You...<ul><li>
Bachelor's degree with an analytical focus in healthcare, economics, finance, statistics, data analytics, or a related field.</li><li>
5&ndash;7 years of relevant experience in healthcare, insurance, consulting, analytics, or a related field, including 1&ndash;3 years of people management experience.</li><li>
Advanced SQL skills with demonstrated experience querying, transforming, and analyzing large and complex datasets (30M+ rows).</li><li>
Experience working with modern data platforms and transformation tools such as AWS, dbt, Databricks, or similar technologies.</li><li>
Proficiency with data visualization and business intelligence tools such as Tableau, Power BI, Looker, or similar platforms, with demonstrated experience developing effective dashboards and data products for business stakeholders.</li><li>
Advanced analytical and problem-solving skills with the ability to translate ambiguous business questions and complex datasets into structured analyses, clear insights, and actionable recommendations.</li><li>
Familiarity with healthcare and insurance terminology, provider networks, healthcare operations, and medical or pharmacy claims data.</li><li>
Demonstrated experience leading, coaching, and developing analysts while establishing priorities, maintaining high standards for analytical quality, and creating an environment of continuous learning.</li><li>
Experience working in modern analytics environments and IDEs (e.g., Visual Studio Code, Cursor, PyCharm, or similar) and using AI-enabled tools to accelerate analysis, development, or workflows.</li><li>
Ability to partner effectively with Data Engineering and technical teams to define data requirements, improve analytical infrastructure, and develop scalable data and reporting solutions.</li><li>
Excellent time and project management skills with the ability to prioritize competing requests, manage multiple initiatives simultaneously, and deliver high-quality work under tight deadlines.</li><li>
Self-motivated and comfortable operating independently, navigating ambiguity, and taking ownership of analytical initiatives from problem definition through implementation.</li><li>
Advanced written and verbal communication skills, with the ability to explain complex analytical concepts to non-technical stakeholders, influence cross-functional partners, and communicate effectively with senior leadership.</li></ul>
Please note: This is not a digital nomad or remote international position; candidates must be based in the United States. Progyny is unable to provide visa sponsorship for this position. Candidates must be authorized to work in United States without the need for sponsorship, now or in the future.
About Progyny:
Progyny (Nasdaq: PGNY) is a global leader in women&rsquo;s health and family building solutions, trusted by the nation&rsquo;s leading employers, health plans and benefit purchasers. We envision a world where everyone can realize dreams of family and ideal health. Our outcomes prove that comprehensive, inclusive and intentionally designed solutions simultaneously benefit employers, patients and physicians.
Our benefits solution empowers patients with concierge support, coaching, education, and digital tools; provides access to a premier network of fertility and women's health specialists who use the latest science and technologies; drives optimal clinical outcomes; and reduces healthcare costs.
Our mission is to empower healthier, supported journeys through transformative fertility, family building and women&rsquo;s health benefits.
Headquartered in New York City, Progyny has been recognized for its leadership and growth as a TIME100 Most Influential Company, CNBC Disruptor 50, Modern Healthcare's Best Places to Work in Healthcare, Forbes' Best Employers, Financial Times Fastest Growing Companies, Inc. 5000, Inc. Power Partners, and Crain's Fast 50 for NYC. For more information, visit www.progyny.com.
Our perks:
<ul><li>Family friendly benefits: Paid family and parental leave, preconception, fertility and family building benefits (including egg freezing, IVF, and adoption support), family and pet care fund, and Parents&rsquo; Employee Affiliation Group</li><li>
Menopause and midlife care</li><li>
Health, dental, vision and life insurance options for employees and family</li><li>
Free in-person, virtual and text-based mental health and wellness support
</li><li>Paid time off, including vacation, sick leave, personal days and summer flex time</li><li>
Company equity</li><li>
Bonus program</li><li>
401(k) plan with company match</li></ul><ul><li>
Access to on-demand legal and financial advice</li><li>
Learning and development programs to help you grow professionally and a mentorship program</li><li>
Company social events to include annual volunteer day and donation matching</li><li>
Flex days (3 days a week in the office) and onsite meals and snacks for employees reporting into our NY office</li></ul>
In compliance with New York City's Wage Transparency Law, the annual salary [wage] range for NYC-based applicants is: $130,000 - $145,000. There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. Progyny offers a total compensation package comprised of base salary, cash bonus, and equity.
Progyny is proud to be an Equal Opportunity and Affirmative Action employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, marital status, pregnancy or related condition, status as a protected veteran, criminal history consistent with legal requirements or any other basis protected by law.
If you are an individual with a disability and need assistance or an accommodation during the recruiting process, please send an e-mail to apply@progyny.com.
#LI-BG1</div>

Manager, Medical Economics & Analytics

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